Bandingkan kaedah

	Hough Transform	Pengesanan Sudut Harris
Bidang	Penglihatan Komputer	Penglihatan Komputer
Keluarga	Machine learning	Machine learning
Tahun asal	1962	1988
Pengasas	Paul Hough	Chris Harris and Mike Stephens
Jenis	Feature extraction and pattern recognition	Interest point detector
Sumber perintis	Hough, P. V. C. (1962). Method and means for recognizing complex patterns. U.S. Patent 3,069,654.	Harris, C., & Stephens, M. (1988). A combined corner and edge detector. Alvey Vision Conference, 147–152.
Alias	Hough Line Detection, Generalized Hough Transform	Harris Corner Detector, Harris-Stephens Detector, Plessey Operator
Berkaitan	5	5
Ringkasan	The Hough Transform is a technique for detecting lines, circles, and other geometric shapes in digital images. Originally patented by Paul Hough in 1962 and popularized in computer vision by Duda and Hart in 1972, the Hough Transform converts edge points in image space to curves in a parameter space (accumulator space), where collinear or co-circular points cluster and become easily identifiable.	The Harris corner detector, introduced by Chris Harris and Mike Stephens in 1988, is a foundational method for identifying corners and interest points in digital images. Harris corners are points where two edges meet at a significant angle, making them stable and repeatable features for image analysis, matching, and 3D reconstruction.